Snoop Mexican

Snoop Mexican — CS2 Stats

FI76561198075927751[U:1:115662023]Steam profile ↗✓ No bans

3,876Tracked matches43%Win rate2020Tracked since
8,453Hours in CS42Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating22,685Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47448 of 260004 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+1Premier CS Rating · 22,684 → 22,685

Rating over time

Premier CS Rating: 22,685 -2,435 2 Sept – 5 Nov · 12 days played
22,68425,120peak 25,1202 Sept5 Nov
25,120Peak Premier in tracked matches
14Days played since 2026-09-02

Premier CS Rating

  • 2,435 below peak (25,120)
  • Next: Red band at 25,000 — 2,315 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-02
  • Pink band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate47.5%50.9%
Shot accuracy13.5%13.7%
Kill/death ratio1.111.09
Match win rate44.5%48.4%

Share this profile

CSDB.GGSnoop MexicanFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,685 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning53
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY42–51–7Last 10042%Win rateLLWWLLLWWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −2.0pp headshot accuracy · −94ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 377ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 451ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 498ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.2
Utility4.7
Positioning5.3
Opening Duels1.8
Clutch3.4

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ropz

Plays most like ropz 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.2
Positioning5.3
Utility4.7
Mechanics7.1
Opening Duels3.5
Win Impact2.8

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time521ms−36ms
first ⅓ avg 557ms → last ⅓ avg 521ms
Headshot accuracy20.7%−2.2%
first ⅓ avg 22.9% → last ⅓ avg 20.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.21Best match rating · 9–5 · inferno, 15 Oct →
40%Best headshot accuracy · 4–13 · nuke, 28 Oct →
367msFastest reaction time · 9–4 · inferno, 16 Oct →
13–3Biggest win · ancient, 27 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
7–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 60% over 10infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C2712–1544%0.01
infernoD155–1033%-0.03
mirageD155–1033%0.01
cacheA106–460%0.03
ancientB105–550%0.02
anubisD93–633%-0.00
nukeC83–538%0.01
overpass—20–20%-0.03
vertigo—22–0100%0.06
italy—10–10%0.08
train—11–0100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

302,182Lifetime kills
1.11K/D · Top 50% of Level 10 players
12,191Matches
44.5%Match win rate
47.5%Headshot %
13.5%Shot accuracy
25,153MVPs
5,298Hours (in match)
7,880Bombs planted
4,121Bombs defused

Most-used weapons

AK-4785,056
AWP39,779
Negev10,050
P2506,339
Knife3,601

Lifetime map wins

24,255dust2
19,836inferno
11,813nuke
3,931train
3,237vertigo
2,283cbble
1,348office
519italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,643Matches
51%Win rate
1.16Avg K/D
71.3ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20048%1.0012.9
Dust215045%1.1514.4
Ancient12146%1.1214.6
Nuke12161%1.3616.6
Anubis10748%1.1213.7
Inferno10248%1.1114.3
Cache3253%1.2716.9
Vertigo2966%1.3417.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.5%Headshot accuracy
34.6%Accuracy (enemy spotted)
40.9%Spray accuracy
82.1%Counter-strafing
9.2°Preaim
522msReaction time
42.7%T opening success
45.2%CT opening success
0.44Enemies flashed / flash
5.7%Flash assists
5.35HE damage / grenade
8.49Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4405 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache14–160.0519%5 Nov →
anubis1–13-0.030%5 Nov →
dust213–80.0120%5 Nov →
anubis16–120.0417%31 Oct →
inferno1–13-0.0121%31 Oct →
nuke6–13-0.0315%31 Oct →
mirage9–130.0124%31 Oct →
dust213–6-0.0318%31 Oct →
nuke13–100.0916%31 Oct →
ancient7–13-0.0429%28 Oct →
mirage13–90.0512%28 Oct →
nuke4–13-0.0440%28 Oct →
inferno7–130.0231%28 Oct →
anubis13–7-0.0213%28 Oct →
ancient7–13-0.0020%28 Oct →
overpass3–9-0.1333%27 Oct →
cache13–11-0.049%27 Oct →
mirage11–130.0417%27 Oct →
cache13–9-0.0514%27 Oct →
inferno2–13-0.0910%27 Oct →
anubis8–13-0.0218%27 Oct →
ancient13–30.1222%27 Oct →
inferno5–13-0.0218%27 Oct →
inferno13–7-0.0124%27 Oct →
anubis8–13-0.0333%27 Oct →
ancient5–13-0.0526%27 Oct →
dust28–90.0219%26 Oct →
dust213–9-0.0129%26 Oct →
inferno13–110.1134%24 Oct →
dust213–30.0630%24 Oct →
ancient1–13-0.090%24 Oct →
cache10–13-0.0226%24 Oct →
dust213–100.0825%24 Oct →
dust25–13-0.1126%24 Oct →
inferno12–120.0617%24 Oct →
cache13–110.0417%24 Oct →
cache13–80.0624%23 Oct →
mirage4–13-0.0524%23 Oct →
mirage13–11-0.0410%23 Oct →
dust26–130.1229%23 Oct →
mirage5–130.0116%23 Oct →
vertigo13–40.0412%23 Oct →
anubis10–130.0122%23 Oct →
mirage13–70.0414%23 Oct →
dust212–120.0026%23 Oct →
ancient13–60.1622%23 Oct →
cache8–130.0013%23 Oct →
cache13–100.0518%22 Oct →
italy12–120.0824%22 Oct →
ancient13–40.0812%22 Oct →
ancient7–4-0.0414%22 Oct →
train13–110.1032%22 Oct →
inferno13–100.0217%22 Oct →
overpass12–120.0815%22 Oct →
anubis9–130.0612%22 Oct →
dust29–130.0323%22 Oct →
dust216–140.0117%22 Oct →
ancient6–13-0.0221%22 Oct →
vertigo13–90.0729%22 Oct →
nuke13–60.0337%22 Oct →
cache5–130.0626%22 Oct →
dust213–5-0.0214%22 Oct →
mirage15–150.0518%22 Oct →
anubis13–9-0.0322%22 Oct →
dust215–150.0312%20 Oct →
dust28–13-0.0024%20 Oct →
cache13–60.1525%20 Oct →
dust213–16-0.0023%20 Oct →
nuke3–13-0.097%20 Oct →
mirage16–13-0.0420%20 Oct →
dust24–130.0415%20 Oct →
dust213–60.0323%20 Oct →
mirage4–130.0132%20 Oct →
dust25–13-0.0519%20 Oct →
anubis4–13-0.0224%19 Oct →
nuke14–160.0336%19 Oct →
nuke13–100.1132%19 Oct →
mirage6–13-0.0122%19 Oct →
ancient13–80.0929%19 Oct →
dust213–90.0517%19 Oct →
mirage13–110.0722%19 Oct →
mirage10–13-0.0116%18 Oct →
dust213–100.0619%18 Oct →
mirage15–150.0312%18 Oct →
dust210–130.0424%17 Oct →
mirage12–16-0.0422%17 Oct →
dust21–7-0.0730%17 Oct →
inferno1–8-0.0417%17 Oct →
nuke2–5-0.0217%17 Oct →
inferno3–9-0.0817%16 Oct →
inferno5–9-0.1740%16 Oct →
inferno0–9-0.2718%16 Oct →
inferno1–9-0.1330%16 Oct →
inferno9–4-0.0332%16 Oct →
dust213–80.1128%16 Oct →
dust210–13-0.0022%15 Oct →
dust213–80.0239%15 Oct →
dust28–130.0120%15 Oct →
dust24–13-0.110%15 Oct →
inferno9–50.2132%15 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.